# Case 04698

> No-News — 国际科技新闻

- Skill: `knownasnaffy/case-04698` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knownasnaffy/case-04698`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knownasnaffy/case-04698/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: knownasnaffy (https://skillmd.com/u/knownasnaffy)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/knownasnaffy/case-04698

---


# No-News — 国际科技新闻

Fetch tech news from 8 curated RSS sources and display as a markdown table.

## Quick Start

Run the bundled script:

```
python scripts/tech_news.py --summary
```

This fetches all sources (with 30-min cache) and outputs a markdown table with title, source link, publish time, and summary.

## Options (resolve from user request when specified)

| Flag | Purpose |
|---|---|
| `--summary` | Include 摘要 column (recommended default) |
| `-s <source>` | Single source (techcrunch, theverge, wired, arstechnica, engadget, hackernews, mittech, gizmodo) |
| `-l <N>` | Items per source (default 10) |
| `--no-cache` | Skip cache, force fresh fetch |
| `--sources` | List available sources |

## Workflow

1. Run `scripts/tech_news.py --summary` (add `-s` or `-l` if user specified).
2. Present the markdown output directly to the user.
3. If user wants details on a specific article, provide the link from the table.

## Dependencies

Requires `feedparser`, `requests`, `rich` — install if missing:

```
pip install feedparser requests rich
```